AIMC Topic: Machine Learning

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Enhancing Patient Safety in Prehospital Environment: Analyzing Patient Perspectives on Non-Transport Decisions With Natural Language Processing and Machine Learning.

Journal of patient safety Mar 23, 2024
OBJECTIVE: This research explored the experiences and perspectives of patients declining hospital transportation after receiving prehospital emergency care using advanced computational techniques.
Female Young Adult Adult Male Humans Machine Learning Patient Safety Bayes Theorem Patient Satisfaction Qatar Transportation of Patients Middle Aged Emergency Medical Services Natural Language Processing
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Using machine learning models to predict falls in hospitalised adults.

International journal of medical informatics Mar 23, 2024
BACKGROUND: Identifying patients at high risk of falling is crucial in implementing effective fall prevention programs. While the integration of information systems is becoming more widespread in the healthcare industry, it poses a significant challe...
Aged Aged, 80 and over Adult Male Female Risk Factors Hospitalization Victoria Humans Retrospective Studies Middle Aged Electronic Health Records Risk Assessment Accidental Falls Neural Networks, Computer Machine Learning
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Machine learning models help differentiate between causes of recurrent spontaneous vertigo.

Journal of neurology Mar 23, 2024
BACKGROUND: Vestibular migraine (VM) and Menière's disease (MD) are two common causes of recurrent spontaneous vertigo. Using history, video-nystagmography and audiovestibular tests, we developed machine learning models to separate these two disorder...
Diagnosis, Differential Recurrence Meniere Disease Vertigo Male Middle Aged Migraine Disorders Humans Aged Adult Machine Learning Female
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Artificial Intelligence (AI) for Early Diagnosis of Retinal Diseases.

Medicina (Kaunas, Lithuania) Mar 23, 2024
Artificial intelligence (AI) has emerged as a transformative tool in the field of ophthalmology, revolutionizing disease diagnosis and management. This paper provides a comprehensive overview of AI applications in various retinal diseases, highlighti...
Early Diagnosis Machine Learning Humans Deep Learning Retinal Diseases Macular Degeneration Diabetic Retinopathy Artificial Intelligence
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Machine learning-based nomogram to predict poor response to overnight orthokeratology in Chinese myopic children: A multicentre, retrospective study.

Acta ophthalmologica Mar 22, 2024
PURPOSE: To develop and validate an effective nomogram for predicting poor response to orthokeratology.
Humans Machine Learning Child Nomograms Refraction, Ocular Retrospective Studies Treatment Outcome Myopia Female Visual Acuity Male Follow-Up Studies Orthokeratologic Procedures China East Asian People Adolescent
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Estimation of wheat protein content and wet gluten content based on fusion of hyperspectral and RGB sensors using machine learning algorithms.

Food chemistry Mar 22, 2024
The protein content (PC) and wet gluten content (WGC) are crucial indicators determining the quality of wheat, playing a pivotal role in evaluating processing and baking performance. Original reflectance (OR), wavelet feature (WF), and color index (C...
Plant Proteins Glutens Machine Learning Algorithms Triticum
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Machine learning framework develops neutrophil extracellular traps model for clinical outcome and immunotherapy response in lung adenocarcinoma.

Apoptosis : an international journal on programmed cell death Mar 22, 2024
Neutrophil extracellular traps (NETs) are novel inflammatory cell death in neutrophils. Emerging studies demonstrated NETs contributed to cancer progression and metastases in multiple ways. This study intends to provide a prognostic NETs signature an...
Cell Line, Tumor Lung Neoplasms Mice Immunotherapy Prognosis Tumor Microenvironment Animals Adenocarcinoma of Lung Phospholipid Transfer Proteins Gene Expression Regulation, Neoplastic Extracellular Traps Neutrophils Humans Machine Learning
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Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review.

International journal of medical informatics Mar 22, 2024
BACKGROUND: Oral Potentially Malignant Disorders (OPMDs) refer to a heterogenous group of clinical presentations with heightened rate of malignant transformation. Identification of risk levels in OPMDs is crucial to determine the need for active inte...
Precancerous Conditions Risk Assessment Mouth Neoplasms Cell Transformation, Neoplastic Humans Machine Learning Algorithms
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Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic Candidates.

The Journal of molecular diagnostics : JMD Mar 22, 2024
This study aims to identify RNA biomarkers distinguishing neuromyelitis optica (NMO) from relapsing-remitting multiple sclerosis (RRMS) and explore potential therapeutic applications leveraging machine learning (ML). An ensemble approach was develope...
Humans Female Adult Machine Learning Biomarkers Mitoxantrone Neuromyelitis Optica Sequence Analysis, RNA Male Multiple Sclerosis Diagnosis, Differential Middle Aged Gene Expression Profiling Multiple Sclerosis, Relapsing-Remitting
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Letter to the Editor: It takes one to know one-Machine learning for identifying OBGYN abstracts written by ChatGPT.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics Mar 22, 2024
Humans Machine Learning Obstetrics Abstracting and Indexing Gynecology
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